activity
20202026
most citedRPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

49 citations · 69 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

CRAB: Cuboid-based Representation for As-built BIM from Point Clouds

Haoran Xiong, Jing Wang, Shanshan Pan +3

As-built BIM reconstruction from point clouds demands semantic, volumetric, parametric, and editable building components, beyond 2D layouts or planar abstractions. Yet existing sca…

cs.CV2026

GRE-Diff: Gaussian Room Embeddings for Structured Layout Diffusion

Jing Wang, Haoran Xiong, Zihao Yan +2

Designing functional and aesthetically coherent floor plans requires exploring a vast space of possible room arrangements, a task that quickly becomes overwhelming for human design…

cs.CV2023★ 7 cited

Interaction-Driven Active 3D Reconstruction with Object Interiors

Zihao Yan, Fubao Su, Mingyang Wang +3

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexp…

cs.CV2021

Consistent Two-Flow Network for Tele-Registration of Point Clouds

Zihao Yan, Zimu Yi, Ruizhen Hu +3

Rigid registration of partial observations is a fundamental problem in various applied fields. In computer graphics, special attention has been given to the registration between tw…

cs.CV2020★ 13 cited

Predictive and Generative Neural Networks for Object Functionality

Ruizhen Hu, Zihao Yan, Jingwen Zhang +4

Humans can predict the functionality of an object even without any surroundings, since their knowledge and experience would allow them to "hallucinate" the interaction or usage sce…

cs.CV2020★ 49 cited

RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

Zihao Yan, Ruizhen Hu, Xingguang Yan +4

We introduce RPM-Net, a deep learning-based approach which simultaneously infers movable parts and hallucinates their motions from a single, un-segmented, and possibly partial, 3D…